{"id":"https://openalex.org/W7131392671","doi":"https://doi.org/10.48550/arxiv.2602.20041","title":"EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover","display_name":"EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover","publication_year":2026,"publication_date":"2026-02-23","ids":{"openalex":"https://openalex.org/W7131392671","doi":"https://doi.org/10.48550/arxiv.2602.20041"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.20041","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20041","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.20041","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126712261","display_name":"Ghadah Alosaimi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alosaimi, Ghadah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126698238","display_name":"Maha Alsayyari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alsayyari, Maha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126681860","display_name":"Yixin Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yixin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005052027","display_name":"Stamos Katsigiannis","orcid":"https://orcid.org/0000-0001-9190-0941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katsigiannis, Stamos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013030358","display_name":"Amir Atapour\u2013Abarghouei","orcid":"https://orcid.org/0000-0002-4242-4579"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Atapour-Abarghouei, Amir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5045115593","display_name":"Toby P. Breckon","orcid":"https://orcid.org/0000-0003-1666-7590"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Breckon, Toby P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6855000257492065},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6780999898910522},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49639999866485596},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4952000081539154},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.46639999747276306},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.38769999146461487},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.37560001015663147},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.3449000120162964}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6855000257492065},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6780999898910522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301000118255615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140999794006348},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49639999866485596},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.37560001015663147},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34610000252723694},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33629998564720154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.329800009727478},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.29989999532699585},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.26510000228881836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2635999917984009},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.20041","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20041","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.20041","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20041","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Brain-computer":[0],"interfaces":[1],"(BCIs)":[2],"provide":[3],"a":[4,23,50,54,71,136],"hands-free":[5],"control":[6,25,127],"modality":[7],"for":[8,27,116,144],"mobile":[9],"robotics,":[10],"yet":[11],"decoding":[12,29],"user":[13],"intent":[14,121],"during":[15,33],"real-world":[16,125],"navigation":[17],"remains":[18],"challenging.":[19],"This":[20],"work":[21],"presents":[22],"brain-robot":[24],"framework":[26],"offline":[28],"of":[30],"driving":[31],"commands":[32,58],"robotic":[34,126],"rover":[35],"operation.":[36],"A":[37],"4WD":[38],"Rover":[39],"Pro":[40],"platform":[41],"was":[42],"remotely":[43],"operated":[44],"by":[45],"12":[46],"participants":[47],"who":[48],"navigated":[49],"predefined":[51],"route":[52],"using":[53],"joystick,":[55],"executing":[56],"the":[57,113],"forward,":[59],"reverse,":[60],"left,":[61],"right,":[62],"and":[63,75,85,108,120,139],"stop.":[64],"Electroencephalogram":[65],"(EEG)":[66],"signals":[67],"were":[68,99],"recorded":[69],"with":[70,77,128],"16-channel":[72],"OpenBCI":[73],"cap":[74],"aligned":[76],"motor":[78],"actions":[79],"at":[80],"Delta":[81],"=":[82],"0":[83,91],"ms":[84],"future":[86],"prediction":[87,119],"horizons":[88],"(Delta":[89],">":[90],"ms).":[92],"After":[93],"preprocessing,":[94],"several":[95],"deep":[96,146],"learning":[97],"models":[98],"benchmarked,":[100],"including":[101],"convolutional":[102],"neural":[103,106],"networks,":[104,107],"recurrent":[105],"Transformer":[109],"architectures.":[110],"ShallowConvNet":[111],"achieved":[112],"highest":[114],"performance":[115],"both":[117],"action":[118],"prediction.":[122],"By":[123],"combining":[124],"multi-horizon":[129],"EEG":[130],"intention":[131],"decoding,":[132],"this":[133],"study":[134],"introduces":[135],"reproducible":[137],"benchmark":[138],"reveals":[140],"key":[141],"design":[142],"insights":[143],"predictive":[145],"learning-based":[147],"BCI":[148],"systems.":[149]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-26T00:00:00"}